f8cd37ac8c
Includes: API (Express/TypeScript), Astro site, Python workers, document generators, FCC compliance tools, Canada CRTC formation, Ansible infrastructure, and deployment scripts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
123 lines
4.8 KiB
Python
123 lines
4.8 KiB
Python
"""Do-Not-Call (DNC) Compliance Review handler (LLM-based).
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Reviews an organization's telemarketing practices and Do-Not-Call compliance
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under the Telephone Consumer Protection Act (TCPA), TSR, FCC rules, and
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state DNC registries.
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"""
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from __future__ import annotations
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import os
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from .base_handler import BaseServiceHandler
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SERVICE_SYSTEM_PROMPT = """You are a compliance analyst at Performance West Inc.
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generating a Do-Not-Call (DNC) Compliance Review report.
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RULES:
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- Write in professional, clear business English
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- Reference TCPA (47 U.S.C. § 227), FCC rules (47 CFR § 64.1200), and
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FTC Telemarketing Sales Rule (16 CFR Part 310)
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- Reference applicable state DNC laws and registries
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- Never provide legal advice — use "we recommend" not "you must"
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- For each finding: what was found, regulation, risk level, remediation
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- Consider: national DNC registry, internal DNC lists, EBR exemptions,
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prior express consent, autodialer/prerecorded message rules, caller ID requirements
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- Note TCPA statutory damages ($500-$1,500 per violation) as risk context
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"""
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SECTIONS = [
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{
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"name": "executive_summary",
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"prompt": (
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"Write a 200-word executive summary of the DNC compliance review. "
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"Include scope, calling volume metrics if available, overall "
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"compliance posture, and critical findings."
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),
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},
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{
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"name": "regulatory_landscape",
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"prompt": (
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"Summarize the applicable DNC regulatory framework for this "
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"organization. Cover: TCPA, FCC rules, FTC TSR, state DNC "
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"registries applicable to their calling patterns, and recent "
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"enforcement actions and FCC declaratory rulings that affect "
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"their operations."
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),
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},
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{
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"name": "dnc_list_management",
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"prompt": (
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"Audit DNC list management practices. Assess: national DNC "
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"registry scrubbing frequency (must be every 31 days), state "
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"DNC registry subscriptions, internal DNC list maintenance, "
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"DNC request processing timeline (must honor within reasonable "
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"time), entity-specific vs. seller-specific DNC, and EBR "
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"exemption tracking."
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),
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},
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{
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"name": "consent_and_calling_practices",
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"prompt": (
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"Review consent management for telemarketing. Assess: prior "
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"express written consent for autodialed/prerecorded calls, "
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"consent revocation processes, consent record retention, "
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"calling time restrictions (8am-9pm), caller ID transmission, "
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"and abandoned call rates (max 3% per campaign per 30 days)."
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),
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},
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{
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"name": "technology_compliance",
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"prompt": (
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"Evaluate technology and systems compliance. Assess: autodialer "
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"definition under current TCPA interpretation, predictive dialer "
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"settings, prerecorded message opt-out mechanisms (press 2 to "
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"opt-out), interactive voice response compliance, and call "
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"recording consent (two-party consent states)."
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),
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},
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{
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"name": "remediation_plan",
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"prompt": (
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"Provide a prioritized remediation plan. For each finding: "
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"reference, risk level (note TCPA statutory damages exposure), "
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"recommended action, responsible party, and timeline. Address "
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"both immediate risk reduction and long-term program improvements."
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),
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},
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]
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class DNCReviewHandler(BaseServiceHandler):
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SERVICE_SLUG = "dnc-compliance"
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SERVICE_NAME = "Do-Not-Call Compliance Review"
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TEMPLATE_NAME = "dnc_review_template.docx"
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REQUIRES_LLM = True
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async def process(self, order_data: dict) -> list[str]:
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work_dir = self._make_work_dir()
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order_number = order_data["name"]
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context = self._extract_order_context(order_data)
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template_path = self._get_template_path()
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docx_filename = self._output_filename(order_number, "docx")
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docx_path = os.path.join(work_dir, docx_filename)
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variables = {
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"order_number": order_number,
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"customer_name": order_data.get("customer_name", ""),
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"date": __import__("datetime").datetime.now().strftime("%B %d, %Y"),
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"service_name": self.SERVICE_NAME,
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"company_size": order_data.get("custom_company_size", "N/A"),
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"industry": order_data.get("custom_industry", "N/A"),
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"state": order_data.get("custom_state", "N/A"),
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}
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self._fill_template(template_path, variables, docx_path)
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sections = await self._generate_sections(
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SERVICE_SYSTEM_PROMPT, SECTIONS, context
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)
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self._add_sections_to_doc(docx_path, sections)
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pdf_path = self._convert_to_pdf(docx_path)
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return [docx_path, pdf_path]
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